Title: A python script for longitudinally measuring the duration of vacant land uses.
Authors: Newman, Galen; Kim, Youjung; Kim, Gunwoo; Lee, Ryun Jung; Gu, Donghwan; Forghanparast, Kaveh; Goldberg, Daniel
Published In J Spat Sci, (2022)
Abstract: Populating and depopulating cities have some degree of underutilised land. The duration of vacancy, or length of time a property remains unused, more strongly influences urban decline than the amount of vacant land. Assessment of the duration of vacancy is seldom conducted, due to a lack of linking longitudinal data. This research creates and applies a Python script to track the duration of vacancy in Minneapolis, MN, U.S.A, to create a tool that can be utilised by cities with vacant land inventories. The tool can be used globally to prioritise treatment areas for urban regeneration plans.
PubMed ID: 35233188
MeSH Terms: No MeSH terms associated with this publication